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5G and AI technology application in the AMTC learning factory

Zhang, W.; Cai, W.; Min, J.; Fleischer, J.; Ehrmann, C.; Prinz, C.; Kreimeier, D.

Abstract:
5G and AI (Artificial Intelligence) are changing industrial production and offer great potential for manufacturing enterprises. One of the effects resulting from the increasing quantity of production data is the increasing demands of transmission of large amounts of data, fast transmission speed, and rapid data analysis. However, merely relying on traditional communication technology and manual data processing does not lead to high transmission performance and low analysis time. It is essential to integrate 5G and AI technology to flexibly transmit large amounts of data and real-time data. To demonstrate the feasibility and potential of these two technologies, a concept was developed at the Advanced Manufacturing Technology Center (AMTC) at the Tongji University (Shanghai, China) and further implemented in the AMTC learning factory in cooperation with wbk of Karlsruhe Institute of Technology (Karlsruhe, Germany) and Ruhr-University Bochum (Bochum, Germany). This paper presents the learning factory design in detail, describing the concept design, training environment and training phases in the AMTC learning factory. It is followed by a case study consisting of specific examples of 5G and AI, implemented in the AMTC learning factory. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000120493
Veröffentlicht am 24.06.2020
Originalveröffentlichung
DOI: 10.1016/j.promfg.2020.04.066
Scopus
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 2351-9789
KITopen-ID: 1000120493
Erschienen in Procedia manufacturing
Verlag Elsevier
Band 45
Seiten 66-71
Bemerkung zur Veröffentlichung 10th Conference on Learning Factories, CLF 2020, Graz, Austria, 15 - 17 April 2020
Nachgewiesen in Scopus
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